Abstract
We present a detailed nonlinear time series analysis of the daily mean wind speed data measured at COCHIN/WILLINGDON (Latitude: +9.950, Longitude: +76.267 degrees, Elevation: 3 metres) from 2000 to 2010 using tools of non-linear dynamics. The results of the analysis strongly suggest that the underlying dynamics is deterministic, low-dimensional and chaotic indicating the possibility of accurate short term prediction. The chaotic behaviour of wind dynamics explains the presence of periodicities amidst random like fluctuations found in the wind speed data, which forced many researchers to model wind dynamics by stochastic models previously. While most of the chaotic systems reported in the literature are either confined to laboratories or theoretical models, this is another natural system showing chaotic behaviour.
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© 2012 Springer-Verlag Berlin Heidelberg
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Asokan, K., Satheesh Kumar, K. (2012). Modelling the Wind Speed Oscillation Dynamics. In: Mathew, J., Patra, P., Pradhan, D.K., Kuttyamma, A.J. (eds) Eco-friendly Computing and Communication Systems. ICECCS 2012. Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32112-2_37
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DOI: https://doi.org/10.1007/978-3-642-32112-2_37
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